Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Gaining visibility to manage the performance and security of serverless applications in distributed public clouds can be difficult.

Serverless 177

Serverless Architecture Open Source Innovation 177

Dynatrace

DECEMBER 8, 2022

State, local, and educational institutions strive to take advantage of the power and flexibility of innovations such as cloud services. Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. Modernizing public-sector technology while managing cyber-risk can be overwhelming.

Education 200

Education Government Innovation Cloud 200

Dynatrace

SEPTEMBER 28, 2020

The study for the ISG Provider Lens ™ Cloud-Native Observability Quadrant measures the breadth, depth, quality, and vision of a product portfolio’s offering, and its competitive strength in the marketplace, customer satisfaction, business innovation, and go-to-market strength.

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

MAY 8, 2023

They help organizations streamline and automate complex and time-consuming procedures and improve overall performance. As a result, a successful digital transformation strategy requires that organizations make changes to organizational culture and provide employee training. Improved customer experience. Competitive advantage.

Strategy 175

Strategy Retail DevOps Education 175

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). It works without having to identify training data, then training and honing. Analyze the data.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

NOVEMBER 24, 2022

As enterprises look to speed innovation, minimize risk, and modernize the way they work in the cloud, there’s a huge opportunity to redefine how IT is architected, deployed, and operated. Powering UP innovations. And so, we needed a way to address this increasing demand and deliver the services our customers require.

Innovation 158

Innovation Virtualization Programming Energy 158

Dynatrace

NOVEMBER 22, 2021

Deterministic AI, or causal AI, automatically reveals precise links between cause and effect in real time—and takes action on these root causes before they result in performance or user experience problems downstream. Dynatrace extends contextual analytics and AIOps for open observability. AIOps done right.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. training data) that the algorithm can then learn from.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 5, 2022

By automating vulnerability scanning as part of the SDLC, developers can release innovative features faster. Teams should be trained on security concerns in addition to their typical responsibilities. Without the additional overhead of manual vulnerability scanning, teams can discover and remediate vulnerabilities during development.

Best Practices 193

Best Practices Education Monitoring Government 193

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

Dynatrace

JULY 6, 2022

AI that is based on machine learning needs to be trained. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications. This enables IT admins to spend more time on innovation, rather than constantly fighting fires.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

DECEMBER 2, 2021

SLOs, together with service-level indicators (SLIs), deliver the performance promised in service-level agreements (SLAs) and other business level objectives (BLOs) while staying within error budgets. In layman’s terms, SLOs represent the performance or health of a service. But what are SLOs? What are SLIs? Watch webinar now!

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. On-premise management tools can also be integrated with the cloud for enhanced protection.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

ScaleOut Software

JANUARY 28, 2021

For vaccination centers, real-time digital twins can track location, the supply of vaccines, current demand (number of recipients), availability of trained personnel to perform injections, and other parameters. Here’s an illustration of a vaccination center sending messages to its real-time digital twin running in the cloud.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Smashing Magazine

OCTOBER 11, 2022

Making performance improvements to a client’s site could result in happier clients who send more business our way. Businesses that achieve BCorp status can benefit (according to the website) from “committed and motivated employees, increased customer loyalty, higher levels of innovation, and market leadership”. Switch your analytics.

Strategy 123

Strategy Development Energy Website 123

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Engaging presentation on an important topic, with some good advice on optimizing ML workloads.

AWS 64

AWS Energy Architecture Programming 64

Tasktop

JUNE 20, 2019

Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency. Learn more.

Development 45

Development DevOps Google Innovation 45

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

The Agile Manager

JANUARY 31, 2014

Software also makes its own opportunities, because it is inherently a business of invention and innovation. The horrific explosion of the oil tank train that devastated Lac-Mégantic in 2012 was in no small part the result of demand exceeding supply. Global supply has been substantially eclipsed by global demand.

Software 73

Software Software Development Government 73

Smashing Magazine

NOVEMBER 22, 2021

Improving The Performance Of Wix Websites (Case Study). Improving The Performance Of Wix Websites (Case Study). It was at this point that we realized we needed to make a significant change in our approach towards performance, and that we must embrace performance as part of our culture. Dan Shappir. Large preview ).

Website 126

Website Performance Google Media 126

O'Reilly Software

OCTOBER 23, 2018

As we mature, we realize that picking one tool or framework or language or platform is not a matter of personal taste but rather a choice with broad ramifications for future flexibility, mergers and acquisitions, training, our ability to hire future supporting teams, and our future ability to directly support—or subvert—the business strategy.

Strategy 100

Strategy Architecture Technology Technology 100

The Netflix TechBlog

JANUARY 10, 2024

We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. It served as the foundation for numerous encoding innovations developed by our team. This drove the approach of the “release train”.

Processing 229

Processing Media Latency Innovation 229

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. The resource can be homogenous (i.e.

Retail 152

Retail C++ Analytics Metrics 152

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

APRIL 29, 2019

The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs. CORE The CORE team uses Python in our alerting and statistical analytical work.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. Only parts of the processes are being performed by machines, or at least supported by them.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 30, 2016

automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

High Scalability

NOVEMBER 25, 2019

For e.g., if accessing file system over WebDAV or FTP has performance issues, and it will take 4 hours to fix, then for those 4 hours, you can just kill FTP/WebDAV at kong/firewall and ask customers to use web UI or other mechanisms to work. Who performs what roles? Combination of unit, functional, integration and performance tests.

Architecture 52

Architecture Cache Azure Storage 52